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Data Experts as the Balancing Power of Big Data Ethics

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61384399%3A31140%2F21%3A00056233" target="_blank" >RIV/61384399:31140/21:00056233 - isvavai.cz</a>

  • Result on the web

    <a href="https://www.mdpi.com/2078-2489/12/3/97" target="_blank" >https://www.mdpi.com/2078-2489/12/3/97</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.3390/info12030097" target="_blank" >10.3390/info12030097</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Data Experts as the Balancing Power of Big Data Ethics

  • Original language description

    Main topics of the document: big data ethics; balancing power; data experts; data-rich; data-poor; governance; regulation; social norms

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>SC</sub> - Article in a specialist periodical, which is included in the SCOPUS database

  • CEP classification

  • OECD FORD branch

    10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Result continuities

  • Project

  • Continuities

    S - Specificky vyzkum na vysokych skolach

Others

  • Publication year

    2021

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Name of the periodical

    Information

  • ISSN

    2078-2489

  • e-ISSN

  • Volume of the periodical

    12

  • Issue of the periodical within the volume

    3

  • Country of publishing house

    CH - SWITZERLAND

  • Number of pages

    14

  • Pages from-to

    1-14

  • UT code for WoS article

  • EID of the result in the Scopus database

    2-s2.0-85102347553